Signals in Health Care and Monitoring
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 29187
Special Issue Editors
Interests: signal processing; fractional signals and systems; EEG and ECG processing
Special Issues, Collections and Topics in MDPI journals
Interests: epidemiological and within-host models; dynamical systems; fractional order models
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal processing, wavelets, uterine electromyography signal processing, time-frequency analysis
Special Issues, Collections and Topics in MDPI journals
Interests: diabetic foot; risk foot; medical thermography; infrared thermography; health sciences; surgery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Disease diagnostics and risk evaluation are often based on signal analysis. Biomedical signal processing has a privileged importance in our daily lives as a powerful tool in the diagnostic and treatment process of innumerous health conditions. In most cases, the acquisition tools are non-invasive and simple to use in hospitals and healthcare centres. The acquired signals are typically submitted to an array of processing algorithms either online or offline, which then undergo a thorough validation process, before being merged in commercial systems for healthcare. ECG, EEG, EMG, TAC and NMR are examples of signals that are studied, modelled and used to make predictions and recommend medical procedures.
With these ideas in mind, we welcome novel research works on signals in all biomedical signal processing fields, including the following:
- Electrocardiography;
- Electroencephalography;
- Evoked potentials;
- Sleep spindles;
- Epilepsy;
- Diabetes;
- COVID-19;
- Signals in Inflammation
- Biomedical image processing;
- Computer vision
- Brain–computer interface;
- Electromyography;
- Neuroprosthetics;
- Sleep classification;
- Electrogastrography;
- Electroenterography;
- Electrocystography;
- Electrohysterography;
- Anal sphincter electromyography;
Prof. Dr. Manuel Ortigueira
Prof. Dr. Carla M.A. Pinto
Prof. Dr. Arnaldo Guimarães Batista
Prof. Dr. Álvaro Astasio Picado
Dr. Jia Chen
Guest Editors
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Keywords
- biomedical signal processing
- biomedical image processing
- fluid and tumor modelling
- AIDS and non-AIDS related tumors modelling
- diabetes
- COVID-19
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